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Article

Machine Learning-Based Radiomics for Prediction of Epidermal Growth Factor Receptor Mutations in Lung Adenocarcinoma.

Disease markers - 1 Jan 2022

Lu Jiameng, Ji Xiaoqing, Wang Lixia, Jiang Yunxiu, Liu Xinyi, Ma Zhenshen, Ning Yafei, Dong Jie, Peng Haiying, Sun Fei, Guo Zihan, Ji Yanbo, Xing Jianping, Lu Yue, Lu Degan

Abstract excerpt

Identifying an epidermal growth factor receptor (EGFR) mutation is important because EGFR tyrosine kinase inhibitors are the first-line treatment of choice for patients with EGFR mutation-positive lung adenocarcinomas (LUAC). This study is aimed at developing and validating a radiomics-based machine learning (ML) approach to identify EGFR mutations in patients with LUAC. We retrospectively collected data from 201...

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Identifiers

PMID: 35578691
DOI: 10.1155/2022/2056837
PMCID: PMC9107363

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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